Triple

T9307510
Position Surface form Disambiguated ID Type / Status
Subject Church of St. Mary and the Martyrs E223923 entity
Predicate containsTombOf P3803 FINISHED
Object Raphael E16943 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Raphael | Statement: [Church of St. Mary and the Martyrs, containsTombOf, Raphael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raphael
Context triple: [Church of St. Mary and the Martyrs, containsTombOf, Raphael]
  • A. Raphael chosen
    Raphael was a master Italian High Renaissance painter and architect renowned for his harmonious compositions and influential work in both painting and church design.
  • B. Raphael
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
  • C. Raphael
    Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
  • D. Michelangelo
    Michelangelo was a Renaissance master renowned as a sculptor, painter, and architect, celebrated for works such as the Sistine Chapel ceiling and the design of major religious structures in Rome.
  • E. Michelangelo
    Michelangelo is the fun-loving, pizza-obsessed, nunchuck-wielding Ninja Turtle known for his goofy humor and carefree attitude.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daa21188190b1b2e508b0d09dcb completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c784f24481909af5f0daa1b8333a completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:37 p.m.